{"id":"W6948498819","doi":"10.5061/dryad.w0vt4b8ms","title":"Gene flow and climate-associated genetic variation in a vagile habitat specialist","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Central European and Russian historical studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Population; Netting; Ectotherm; Selection (genetic algorithm); Limiting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238953,0.0001237084,0.0001121689,0.0004299056,0.0002346067,0.0002541857,0.0001474489,0.0002012464,0.0007656037],"category_scores_gemma":[0.0005110976,0.00007430036,0.0001803087,0.0003034527,0.0002557349,0.0001161406,0.0002572521,0.0002488502,0.00005244876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603713,"about_ca_system_score_gemma":0.0001309807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006376588,"about_ca_topic_score_gemma":0.01532213,"domain_scores_codex":[0.999891,0.00002964756,0.000004812988,0.00004250099,0.00001087052,0.00002114887],"domain_scores_gemma":[0.9997339,0.00009598779,0.00007725888,0.00001730349,0.00001507679,0.00006043186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001715042,0.00003813282,0.9824195,0.000005806379,0.00008246963,0.0001040261,0.0003656923,0.0003376781,0.01359938,0.0001004916,0.00002941112,0.002745894],"study_design_scores_gemma":[0.000002674397,0.00003068579,0.9984035,0.00000123369,0.000009111652,0.00007194487,0.0001233797,0.001116811,0.0001480097,0.00004886336,0.00004112299,0.000002525166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9999226,0.000006232469,0.0000268811,0.000003369564,1.88294e-7,2.30379e-7,0.000008503937,4.281236e-7,0.00003147149],"genre_scores_gemma":[0.9998547,0.000007726236,0.00006094293,0.00000422598,6.965154e-7,6.067183e-7,0.00003387362,7.198872e-7,0.00003658409],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006376588,"threshold_uncertainty_score":0.01267898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086271581557472,"score_gpt":0.2490525051284374,"score_spread":0.2181897893128626,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}